| Time |
Speaker |
Title |
| 1/17-1/20 |
Week 1 |
Galaxy evolution and data-driven advances |
| 1/17, 9:00am |
Tjitske Starkenburg
(Northwestern University)
John Wu
(STScI)
Peter Behroozi
(University of Arizona)
Francisco Villaescusa-Navarro
(Flatiron Institute) |
Welcome and Introduction to the virtual program[Protected][Video][CC] |
| 1/17, 9:30am |
Romeel Dave
Royal Observatory, University of Edinburgh |
Introducing the program: Galaxy evolution and data-driven advances[Slides][Video][CC] |
| 1/17, 10:15am |
All Participants |
Moderated discussion[Protected][Video][CC] |
| 1/18, 9:00am |
All Participants |
Lightning & Thunder talks (1 slide/1 min presentations)[Video][CC] |
| 1/18, 9:30am |
Mahdi Qezlou
(UCR)
Ming-Feng Ho
(UCR) |
Tutorial: Large-scale galaxy formation simulations and Machine Learning approaches[Video][CC] |
| 1/18, 4:00pm |
All Participants |
Lightning & Thunder talks (1 slide/1 min)[Video][CC] |
| 1/18, 4:30pm |
Francisco Villaescusa Navarro
Flatiron Institute |
The CAMELS Project[Video][CC] |
| 1/18, 4:45pm |
Benjamin Oppenheimer
UC Boulder |
Multi-Wavelength Parameter Inference for the Circumgalatic Medium (CGM)[Video][CC] |
| 1/19, 9:00am |
John Wu
STScI |
Tutorial: Introduction to Convolutional Neural Networks[Video][CC] |
| 1/20, 9:00am |
Sultan Hassan
New York University |
Extracting all information from future large scale surveys[Video][CC] |
| 1/20, 9:15am |
Sophie Koudmani
Flatiron Institute |
The Role of AGN Feedback in Dwarf Galaxies[Video][CC] |
| 1/20, 9:30am |
Tobias Buck
University of Heidelberg |
Studying galaxy formation with physics informed ML and classical numerical simulations[Video][CC] |
| 1/23-1/27 |
Week 2 |
Galaxy scaling relations and the galaxy-halo connection |
| 1/23, 9:00am |
Eric Gawiser
Rutgers University |
Galaxy scaling relations and the galaxy-halo connection[Slides][Video][CC] |
| 1/23, 9:45am |
All Participants |
Moderated discussion[Protected][Video] |
| 1/24, 9:00am |
All Participants |
Lightning & Thunder talks (1 slide/1 min)[Video][CC] |
| 1/24, 9:30am |
Natali de Santi
(Flatiron Institute/University of Sao Paulo)
Chris Lovell
(University of Portsmouth) |
Tutorial: The galaxy-halo connection and Machine Learning approaches[Video][CC] |
| 1/25, 9:00am |
Peter Behroozi
University of Arizona |
Tutorial: Galaxy scaling relations through working with Universe Machine[Video][CC] |
| 1/25, 10:30am |
Peter Behroozi
University of Arizona |
Ethics discussion: What boundaries should we set for the use of generative models? |
| 1/25, 4:00pm |
All Participants |
Lighting & Thunder talks (1-slide / 1-min) |
| 1/25, 4:30pm |
John Forbes
Flatiron Institute |
Promise and perils of equilibrium models for understanding galaxy scaling relations[Video][CC] |
| 1/25, 4:45pm |
Tomomi Sunayama
University of Arizona |
How to quantify systematics in optical clusters?[Video][CC] |
| 1/27, 9:00am |
Benjamin Horowitz
Lawrence Berkeley National Laboratory |
Discrete to Differentiable: The Gumbel-Softmax Trick and Halo Occupation Distributions[Video] |
| 1/27, 9:15am |
Gillian Beltz-Mohrman
Argonne National Laboratory |
Toward Accurate Modeling of Galaxy Clustering on Small Scales: Halo Model Extensions & Lingering Tension[Slides][Video] |
| 1/27, 9:30am |
Ethan Nadler
Carnegie Observatories / University of Southern California |
The Faint End of the Galaxy-Halo Connection[Slides][Video] |
| 1/27, 9:45am |
Tjitske Starkenburg
Northwestern University |
Apples-to-apples comparisons of simulated and observed galaxy samples[Video] |
| 1/30-2/03 |
Week 3 |
CCA Workshop: Applications of cutting-edge deep learning in astronomy |
| 2/06-2/10 |
Week 4 |
Outliers, failure modes, domain shifts and uncertainties |
| 2/06, 9:00am |
Aleksandra Ciprijanovic
Fermilab |
Bridging the gap between astronomical datasets with AI - Domain Shift, Model Robustness and Failure Modes[Slides][Video][CC] |
| 2/06, 9:45am |
All Participants |
Moderated discussion[Protected][Video][CC] |
| 2/08, 9:00am |
Alex Malz
New York University |
Tutorial on photo-z's and uncertainties[Video][CC] |
| 2/08, 10:30am |
All Participants |
Ethics discussion on carbon footprints |
| 2/10, 9:00am |
Micol Bolzonella
INAF-OAS Bologna |
Millions to billions of photometric redshifts[Video][CC] |
| 2/10, 9:15am |
Yan Liang
Princeton University |
Autoencoding Galaxy Spectra: Redshift Variance and Outlier Detection[Video][CC] |
| 2/10, 9:30am |
Biprateep Dey
University of Pittsburgh |
Calibrated Predictive Distributions for Photometric Redshifts[Video][CC] |
| 2/13-2/17 |
Week 5 |
Combining heterogeneous datasets and multi-wavelength astronomy |
| 2/13, 9:00am |
Yuanyuan Zhang
NOIRLab |
A few notes about using heterogeneous and multi-wavelength data sets[Slides][Video][CC] |
| 2/13, 9:45am |
All Participants |
Moderated discussion[Protected][Video] |
| 2/15, 10:00am |
Andrew Hearin
Argonne National Laboratory |
Tutorial on differential programming with JAX[Video][CC] |
| 2/15, 4:00pm |
Edward Taylor
Swinburne University of Technology |
4HS: What can('t) you do with 6 million low-z galaxy redshifts across the southern hemisphere?[Video][CC] |
| 2/15, 4:15pm |
Jeff Newman
University of Pittsburgh |
Spectroscopic Samples for Photometric Redshifts: Systematic Biases and Unknown Unknowns[Slides][Video][CC] |
| 2/15, 4:30pm |
Shoubaneh Hemmati
Caltech/IPAC |
Have we seen enough?[Video][CC] |
| 2/21-2/24 |
Week 6 |
Studying galaxies with resolved observations and simulations, and multi-resolution data |
| 2/21, 9:00am |
Lina Necib
MIT |
Machine learning methods with resolved stars[Video][CC] |
| 2/21, 9:45am |
All Participants |
Moderated discussion[Protected][Video][CC] |
| 2/23, 9:00am |
Hadi Sotoudeh
University of Montreal |
Tutorial on Probabilistic U-Nets[Slides][Video][CC] |
| 2/23, 10:30am |
All Participants |
Ethics discussion, equal access to expertise, to hardware, to software, to data |
| 2/24, 9:00am |
Farida Farsian
University of Bologna |
Graph-Convolutional Neural Networks as a new tool to extract clustering information of the Cosmic web[Video][CC] |
| 2/27-3/03 |
Week 7 |
In-person/Hybrid Program |
| 2/27, 11:00am |
All Participants |
Informal meeting/introductions |
| 2/28, 11:00am |
All Participants |
Informal meeting/introductions |
| 3/01, 9:00am |
Josh Peek
Space Telescope Science Institute |
Machine Learning and Astronomy[Video][CC] |
| 3/01, 9:45am |
All Participants |
Moderated discussion |
| 3/02, 11:00am |
Alexa Villaume
University of Waterloo |
Blackboard discussion[Video][CC] |
| 3/06-3/10 |
Week 8 |
In-person/Hybrid Program |
| 3/06, 11:00am |
All Participants |
Informal meeting/introductions |
| 3/07, 11:00am |
Andrew Hearin
Argonne National Laboratory |
Probabilistic Predictions and Physics-Informed Priors[Video] |
| 3/07, 11:00am |
Viviana Acquaviva
City University of New York |
Interpretability tools for ML models[Video] |
| 3/08, 9:00am |
Rachel Somerville
CCA / Flatiron |
Connecting theoretical models of galaxy formation with observations [in the era of data driven astrophysics][Video] |
| 3/08, 10:00am |
All Participants |
Moderated discussion[Protected][Video] |
| 3/09, 11:00am |
Marc Huertas-Company
Instituto de Astrofisica de Canarias / Observatoire de Paris / Flatiron Institute |
Self-supervised learning[Video] |
| 3/09, 11:30am |
ChangHoon Hahn
(Princeton University)
Chris Lovell
(University of Portsmouth) |
Neural density estimation, simulation-based inference and normalizing flows[Video] |
| 3/09, 11:00am |
All Participants |
Moderated discussion |
| 3/09, 4:00pm |
Risa Wechsler
Stanford |
Learning from billions of galaxies: Can our understanding of galaxy formation keep up with the upcoming data revolution?[Video]
KITP Blackboard Lunch |
| 3/13-3/17 |
Week 9 |
In-person/Hybrid Program |
| 3/13, 11:00am |
All Participants |
Informal meeting/introductions |
| 3/14, 11:00am |
Christian Kragh Jespersen
Princeton University |
The unreasonable efficiency of GNNs for physics[Video] |
| 3/14, 11:45am |
Sultan Hassan
(New York University)
Chris Lovell
(University of Portsmouth) |
Pushing models to the limit in the search for new physics[Video] |
| 3/15, 9:00am |
Mike Walmsley
University of Manchester |
Review talk on combining the power of citizen science and machine learning[Video][CC] |
| 3/15, 9:45am |
All Participants |
Moderated discussion[Protected][Video] |
| 3/16, 11:00am |
Haowen Zhang
University of Arizona |
Data-driven model of galaxy--supermassive black hole connection[Video] |
| 3/16, 11:30am |
Kartheik Iyer
Columbia |
The intrinsic dimensionality / information content of galaxy observations[Video] |
| 3/21-3/24 |
Conference: |
Galaxy Formation and Evolution in the Data Science Era |
